Sallam Abualhaija

Affiliation

SnT, University of Luxembourg, Luxembourg

Topic

Requirements Engineering,Natural Language,General Data Protection Regulation,Legal Experts,Compliance Requirements,Data Protection,Empirical Evaluation,Human Analysts,Language Model,Personal Data,Precision And Recall,Privacy Policies,Conceptual Model,Financial Domain,Legal Texts,Natural Language Processing Technologies,Natural Language Processing Tools,Processing Of Personal Data,Regulatory Compliance,Activity Monitor,Applicability Domain,Artificial Intelligence,Combination Of Machine Learning,Correctly Answered,Data Processing,Data Subject,European Union,Financial Regulation,Information Leakage,Internal Validity,Legal Domain,Less Than Or Equal,Machine Learning Classification Algorithms,Machine Learning Classifiers,Masked Language Model,Mode Matching,Natural Language Processing Tasks,Phrase Level,Position Paper,Privacy Policy,Regulatory Changes,Semantic,Semantic Similarity,Sentence Embedding,Software Requirements,Supervised Learning,Support Vector Machine,System Software,Term Frequency-inverse Document Frequency,Text Passages,

Biography

Sallam Abualhaija (Member, IEEE) received the PhD degree in computer science from the Hamburg University of Technology, Germany, in 2016. She is a research scientist with the Interdisciplinary Centre for Security, Reliability, and Trust (SnT), University of Luxembourg. Her main research interests combine AI with software engineering, with an emphasis on: Requirements engineering, regulatory compliance, natural language processing, and machine learning. She believes in fostering stronger ties between academia and industry and has conducted the majority of her research in close collaboration with industry partners in the past years.